System and method for allocating transmission resources based on a transmission rank

ABSTRACT

A method for wirelessly transmitting data using a plurality of transmission layers includes estimating a number of data vector symbols to be allocated to one or more user data codewords during the subframe and determining a number of bits in the one or more user data codewords. The method also includes calculating a nominal number of control vector symbols to allocate to control information based, at least in part, on the estimated number of data vector symbols and the determined number of bits in the one or more user data codewords. Additionally, the method includes determining an offset value based, at least in part, on a number of layers over which the wireless terminal will be transmitting during the subframe and calculating a final number of control vector symbols by multiplying the nominal number of control vector symbols and the offset value. The method also includes mapping one or more control codewords to the final number of control vector symbols and transmitting vector symbols carrying the one or more user data codewords and the one or more control codewords over the plurality of transmission layers during the subframe.

CLAIMING BENEFIT OF PRIOR FILED U.S. APPLICATION

This application is a continuation of U.S. patent application Ser.No.13/099,101, filed May 2, 2011, which was the National Stage ofInternational Application No. PCT/IB2011/051958, with an internationalfiling date of May 3, 2011, and which claims the benefit of U.S.Provisional Application No. 61/330,454 filed May 3, 2010, and thecontents of all of the preceding are hereby incorporated by referenceherein.

TECHNICAL FIELD OF THE INVENTION

This disclosure relates in general to wireless communication and, moreparticularly, to resource allocation for multi-antenna transmissions.

BACKGROUND OF THE INVENTION

Multi-antenna transmission techniques can significantly increase thedata rates and reliability of wireless communication systems, especiallyin systems where the transmitter and the receiver are both equipped withmultiple antennas to permit the use of multiple-input multiple-output(MIMO) transmission techniques. Advanced communication standards such asLong Term Evolution (LTE) Advanced utilize MIMO transmission techniquesthat may permit data to be transmitted over multiple differentspatially-multiplexed channels simultaneously, thereby significantlyincreasing data throughput.

While MIMO transmission techniques can significantly increasethroughput, such techniques can greatly increase the complexity ofmanaging radio channels. Additionally, many advanced communicationtechnologies, such as LTE, rely on a substantial amount of controlsignaling to optimize the configuration of transmitting devices andtheir use of the shared radio channel. Because of the increased amountof control signaling in advanced communication technologies, it is oftennecessary for user data and control signaling to share transmissionresources. For example, in LTE systems, control signaling and user dataare, in certain situations, multiplexed by user equipment (“UE”) fortransmission over a physical uplink shared channel (“PUSCH”).

However, conventional solutions for allocating transmission resourcesare designed for use with single layer transmission schemes in whichonly a single codeword of user data is transmitted at a time. As aresult, such resource allocation solutions fail to provide optimalallocation of transmission resources between control information anduser data when MIMO techniques are being utilized to transmit data onmultiple layers simultaneously. Additionally, in MIMO systems,sub-optimal precoder selection may result in deteriorated performancefor control signaling. This deterioration may be especially significantwhen low transmission ranks are used. As a result, conventionalsolutions may be particularly inadequate for multi-layer transmissionswith low ranks when a sub-optimal precoder is selected.

SUMMARY OF THE INVENTION

In accordance with the present disclosure, certain disadvantages andproblems associated with wireless communication have been substantiallyreduced or eliminated. In particular, certain devices and techniques forallocating transmission resources between control information and userdata are described.

In accordance with one embodiment of the present disclosure, a methodfor wirelessly transmitting data using a plurality of transmissionlayers includes estimating a number of data vector symbols to beallocated to one or more user data codewords during the subframe anddetermining a number of bits in the one or more user data codewords. Themethod also includes calculating a nominal number of control vectorsymbols to allocate to control information based, at least in part, onthe estimated number of data vector symbols and the determined number ofbits in the one or more user data codewords. Additionally, the methodincludes determining an offset value based, at least in part, on anumber of layers over which the wireless terminal will be transmittingduring the subframe and calculating a final number of control vectorsymbols by multiplying the nominal number of control vector symbols andthe offset value. The method also includes mapping one or more controlcodewords to the final number of control vector symbols and transmittingvector symbols carrying the one or more user data codewords and the oneor more control codewords over the plurality of transmission layersduring the subframe.

In accordance with one embodiment of the present disclosure, a methodfor receiving user data and control information transmitted wirelesslyover a plurality of transmission layers includes receiving a pluralityof vector symbols from a wireless terminal over a plurality oftransmission layers and estimating a number of user data vector symbolsallocated to one or more user data codewords transmitted by the wirelessterminal. The method also includes determining a number of bits in theone or more user data codewords and calculating a nominal number ofcontrol vector symbols transmitted by the wireless terminal based, atleast in part, on the estimated number of user data vector symbols andthe determined number of bits in the one or more user data codewords.Additionally the method includes determining an offset value based, atleast in part, on a number of transmission layers over which thewireless terminal transmitted the plurality of vector symbols andcalculating a final number of control vector symbols by multiplying thenominal number of control vector symbols and the offset value. Themethod further includes decoding the received vector symbols based onthe final number of control vector symbols.

In accordance with another embodiment, a method of scheduling wirelesstransmissions over a plurality of transmission layers includes receivinga scheduling request from a transmitter and determining a transmissionrank, a total number of vector symbols to be used, and a number of bitsof user data to be carried by one or more user data codewords,accounting, at least in part, for an estimated number of control vectorsymbols. The estimated number of control vector symbols are determinedby estimating a number of user data vector symbols to be used,estimating a number of bits in one or more control codewords to betransmitted, determining an offset value associated with thetransmission rank, and calculating the estimated number of controlvector symbols to be used in transmitting the one or more user datacodewords. The estimated number of control vector symbols is based, atleast in part, on the estimated number of user data vector symbols to beused in transmitting the one or more user data codewords, the estimatednumber of bits in the one or more control codewords, the number of bitsin the one or more user data codewords, and the offset value. The methodalso includes generating a response to the scheduling request andtransmitting the response to the transmitter.

Additional embodiments include apparatuses capable of implementing theabove methods and/or variations thereof

Important technical advantages of certain embodiments of the presentinvention include reducing the overhead associated with transmittingcontrol signaling by matching the allocation to the quality of thechannel indicated by the payloads of the user data codewords. Otheradvantages of the present invention will be readily apparent to oneskilled in the art from the following figures, descriptions, and claims.Moreover, while specific advantages have been enumerated above, variousembodiments may include all, some, or none of the enumerated advantages.

BRIEF DESCRIPTION OF THE DRAWINGS

For a more complete understanding of the present invention and itsadvantages, reference is now made to the following description, taken inconjunction with the accompanying drawings, in which:

FIG. 1 is a functional block diagram illustrating a particularembodiment of a multi-antenna transmitter;

FIG. 2A is a functional block diagram illustrating a particularembodiment of a carrier modulator that may be used in the transmitter ofFIG. 1;

FIGS. 2B-2E show example transmissions made by a particular embodimentof the transmitter;

FIG. 3 is a structural block diagram showing the contents of aparticular embodiment of the transmitter;

FIG. 4 is a flowchart detailing example operation of a particularembodiment of the transmitter;

FIG. 5 is a structural block diagram showing the contents of a networknode that is responsible for receiving and/or scheduling transmissionsof the transmitter;

FIG. 6 is a flowchart showing example operation of a particularembodiment of the network node of FIG. 5 in receiving transmissions fromthe transmitter; and

FIG. 7 is a flowchart showing example operation of a particularembodiment of the network node in scheduling transmissions of thetransmitter.

DETAILED DESCRIPTION OF THE INVENTION

FIG. 1 is a functional block diagram illustrating a particularembodiment of a multi-antenna transmitter 100. In particular, FIG. 1shows a transmitter 100 configured to multiplex certain controlsignaling with user data for transmission over a single radio channel.The illustrated embodiment of transmitter 100 includes a splitter 102, aplurality of channel interleavers 104, a plurality of scramblers 106, aplurality of symbol modulators 108, a layer mapper 110, and a carriermodulator 112. Transmitter 100 allocates transmission resources tocontrol signaling on multiple transmission layers based on an estimateof the quality of the radio channel over which transmitter 100 willtransmit. As described further below, particular embodiments oftransmitter 100 reduce the overhead for transmitted control informationby using an estimate of the data payloads of multiple layers and/orcodewords as a measure of the channel quality.

Control signaling can have a critical impact on the performance ofwireless communication systems. As used herein, “control signaling” and“control information” refers to any information communicated betweencomponents for purposes of establishing communication, any parameters tobe used by one or both of the components in communicating with oneanother (e.g., parameters relating to modulation, encoding schemes,antenna configurations), any information indicating receipt ornon-receipt of transmissions, and/or any other form of controlinformation. For example, in LTE systems, control signaling in theuplink direction includes, for example, Hybrid Automatic Repeat reQuest(HARQ) Acknowledgments/Negative Acknowledgements (ACK/NAKs), precodermatrix indicators (PMIs), rank indicators (RIs), and channel qualityindicators (CQIs), which are all used by the eNodeB to get confirmationof successful reception of transport blocks or to improve theperformance of downlink transmissions. Although control signaling isoften transmitted on separate control channels, such as the physicaluplink control channel (PUCCH) in LTE, it may be beneficial or necessaryto transmit control signaling on the same channel as other data.

For example, in LTE systems, when a periodic PUCCH allocation coincideswith a scheduling grant for a user equipment (UE) to transmit user data,the user data and control signaling share transmission resources topreserve the single-carrier property of the discrete Fourier transform,spread orthogonal frequency-division multiplexing (DFTS-OFDM)transmission techniques used by LTE UEs. Furthermore, when a UE receivesa scheduling grant to transmit data on the physical uplink sharedchannel (PUSCH), it typically receives information from the eNodeBrelated to the characteristics of the uplink radio propagation channeland other parameters that can be used to improve the efficiency of PUSCHtransmissions. Such information may include modulation and coding scheme(MCS) indicators as well as, for UEs capable of using multipletransmission antennas, PMIs or RIs. As a result, UEs may be able to usethis information to optimize PUSCH transmissions for the radio channel,thereby increasing the amount of data that can be transmitted for agiven set of transmission resources. Thus, by multiplexing controlsignaling with the user data transmitted on PUSCH, a UE can supportsignificantly larger control payloads than when transmitting controlsignaling by itself on PUCCH.

It may be possible to multiplex control signaling and user data bysimply dedicating a set amount of the time-domain transmission resourcesto control information and then perform carrier modulation and precodingof the control signaling along with the data. In this way control anddata are multiplexed and transmitted in parallel on all sub-carriers.For example, in LTE Release 8, DFTS-OFDM symbols are formed from apredetermined number of information vector symbols. As used herein, a“vector symbol” may represent any collection of information thatincludes an information element associated with each transmission layerover which the information is to be transmitted. Assuming a normalcyclic prefix length, fourteen of these DFTS-OFDM symbols can betransmitted in each uplink subframe. A predetermined number anddistribution of these symbols are used to transmit various types ofcontrol signaling and the remaining symbols may be used to transmit userdata.

However, the amount of control signaling to be multiplexed on a datatransmission is typically much fewer than the amount of user data.Moreover, since control signaling and user data may each be associatedwith different block error-rate requirements, control signaling is oftenencoded separately and using a different encoding scheme from user data.For example, user data is often encoded with turbo codes or low-densityparity-check (LDPC) codes that are highly efficient for longer blocklengths (i.e., larger blocks of information bits). Control signalingthat uses only a small amount of information bits, such as HARQ ACK/NAKsignaling or rank indicators, is often most efficiently encoded using ablock code. For medium-sized control signaling, such as larger size CQIreports, a convolutional code (possibly tail biting) often provides thebest performance. Consequently, fixed or predetermined allocations oftransmission resources to control signaling and user data can lead toinefficient use of such resources as the optimal resource allocationwill often depend on numerous factors, including the channel quality,the type of control signaling, and various other considerations.

The use of multiple transmit antennas can further complicate theallocation of transmission resources between control signaling and userdata when the two types of information are multiplexed together on acommon channel. When MIMO techniques are used to simultaneously transmitmultiple data codewords in parallel, control signaling may betransmitted on multiple different codewords and/or layers of thetransmission scheme. The optimal allocation of resources in suchsituations may differ from the optimal allocation under the samecircumstances when a single transmission antenna is used. Moreover, themultiple-antenna technique used for control signaling may be differentfrom that used for user data. Control signaling is often encoded formaximum robustness (e.g., with maximum transmission diversity) ratherthan for maximum throughput. By contrast, user data is often combinedwith a retransmission mechanism that allows for morethroughput-aggressive multiple-antenna encoding techniques. Thus, iftransmitter 100 has information indicating the supported payload of userdata, transmitter 100 may not be able to assume the supported payloadfor control signaling is the same when determining the optimalallocation of transmission resources for control signaling. For example,the supported peak spectral efficiency of the encoded user data may besignificantly larger than the supported peak spectral efficiency of theencoded control signaling.

Thus, particular embodiments of transmitter 100 determine an allocationof transmission resources across multiple codewords and/or transmissionlayers for control signaling on a channel in which control signaling anduser data are multiplexed. More specifically, particular embodiments oftransmitter 100 use the data payloads of the multiple layers orcodewords to estimate the spectral efficiency supported by themulti-layer encoding scheme currently being used by transmitter 100 forcontrol signaling. Based on this estimated spectral efficiency,transmitter 100 may then determine the amount of transmission resources(e.g., the number of vector symbols) to use for control signaling.

Turning to the example embodiment illustrated by FIG. 1, transmitter100, in operation, generates or receives control codewords and datacodewords (represented, in FIG. 1, by control codeword 120 and user datacodewords 122 a and 122 b, respectively) for transmission to a receiverover a radio channel. To permit multiplexing of control codewords 120and user data codewords 122 over a common channel, splitter 102 splitscontrol codeword 120 for use by multiple channel interleavers 104.Splitter 102 may split control codeword 120 in any appropriate mannerbetween channel interleavers 104, outputting a complete copy or somesuitable portion on each datapath. As one example, splitter 102 maysplit control codeword 120 for use in the multiple datapaths byreplicating control codeword 120 on both datapaths, outputting acomplete copy of control codeword 120 to each channel interleaver 104.As another example, splitter 102 may split control codeword 120 byperforming serial-to-parallel conversion of control codeword 120,outputting a unique portion of control codeword 120 to each channelinterleaver 104.

Channel interleavers 104 each interleave a user data codeword 122 withcontrol codeword 120 (either a complete copy of control codeword 120, aparticular portion of control codeword 120, or a combination of both,depending on the configuration of splitter 102). Channel interleavers104 may be configured to interleave user data codewords 122 and controlcodeword 120 so that layer mapper 110 will map them to vector symbols ina desired manner. The interleaved outputs of channel interleavers 104are then scrambled by scramblers 106 and modulated by symbol modulators108.

The symbols output by symbol modulators 108 are mapped to transmissionlayers by layer mapper 110. In particular embodiments, there is arelationship between the number of codewords of user data and/or controlinformation being transmitted and the number of transmission layers (the“transmission rank”) to be used for the transmission. For example, incertain embodiments where transmitter 100 represents an LTE UE, a singletransmission layer is used when a single user data codeword 122 is to betransmitted, as shown by FIG. 2B, and the transmission has a rank of 1.However, when two user data codewords 122 are transmitted in suchembodiments, the number of layers used may vary depending on thecircumstances and capabilities of the devices involved, as shown byFIGS. 2C-2E. FIG. 2C illustrates a situation in which a first user datacodeword 120 a and a second user data codeword 120 b to be transmittedare each mapped to a single layer, resulting in two layers being usedfor the transmission. FIG. 2D illustrates a situation in which user datacodeword 120 a is mapped to a single layer, but user data codeword 120 bis mapped to two layers with all or a portion of user data codeword 120b being transmitted on each of the two transmission layers. As a result,the transmission shown in FIG. 2D uses three layers. FIG. 2E illustratesa situation in which both user data codeword 120 a and user datacodeword 120 b are mapped to two transmission layers. As a result, thetransmission shown in FIG. 2E utilizes four transmission layers. A copy(or a different portion) of user data codeword 120 a is transmitted oneach of the first and second layers, and a copy (or a different portion)of user data codeword 120 b is transmitted on each of the third and thefourth layers.

Layer mapper 110 outputs a series of vector symbols 124 that areprovided to carrier modulator 112. As an example, for embodiments oftransmitter 100 that support LTE, each vector symbol 124 may representan associated group of modulation symbols that are to be transmittedsimultaneously on different transmission layers. Each modulation symbolin a particular vector symbol 124 is associated with a specific layerover which that modulation symbol will be transmitted.

After layer mapper 110 maps the received symbols into vector symbols124, carrier modulator 112 modulates information from the resultingvector symbols 124 onto a plurality of radiofrequency (RF) subcarriersignals. Depending on the communication technologies supported bytransmitter 100, carrier modulator 112 may also process the vectorsymbols 124 to prepare them for transmission, such as by precodingvector symbols 124. The operation of an example embodiment of carriermodulator 112 for LTE implementations is described in greater detailbelow with respect to FIG. 2. After any appropriate processing, carriermodulator 112 then transmits the modulated subcarriers over a pluralityof transmission antennas 114.

When multiplexing control and data on a precoded multi-antenna systemthe multiplexed control signals experience an effective channel given byEquation (1) (after residual Inter-Symbol Interference is accountedfor):

ŝ(n)=H _(eff,w)

s(n)+e(n)   Equation (1)

where the received signal, ŝ(n), represents the precoded time-domainsignal, s(n), that is transmitted by transmitter 100 circularlyconvolved with an effective channel impulse response, H_(eff,w), andacted on by a noise/interference vector, e(n). In Equation (1), thesubscript W in H_(eff,w) indicates that the effective channel depends onthe precoder, W.

The transmission rank, and thus the number of spatially multiplexedlayers, is reflected by the number of columns in precoder, W. Forefficient performance, a transmission rank that matches the channelproperties is typically selected. Often, the device selecting theprecoder is also responsible for selecting the transmission rank—one wayis to simply evaluate a performance metric for each possible rank andpick the rank which optimizes the performance metric. For theLTE-Advanced uplink, the use of closed-loop precoding results in theeNodeB selecting the precoder(s) and transmission rank and thereaftersignaling the selected precoder that transmitter 100 is supposed to use.

Since the effective channel seen by the control signaling, H_(eff,w),depends to a large extent on the selected precoder, the controlsignaling is sensitive to the performance of the precoder. The precoderis typically optimized to maximize the throughput of the data, whichgenerally has looser requirements on the block error rate (BLER) thanthe control signaling. Contrary to the data channel, control signalingtypically has no retransmission mechanism, and therefore hassignificantly tighter requirements on the robustness of the link. If acontrol signaling transmission is unsuccessful, system operation isoften jeopardized.

One particular problem for precoded multiple-antenna transmissionsoccurs when the precoder, W, is selected such that it is not wellmatched to the radio propagation channel, H_(k), in which case thesignal-to-interference-plus-noise ratio (SINR) on one or more streamswill be significantly decreased. This may for example happen because ofestimation noise that results in a suboptimal precoder being selected. Abursty inter-cell interference may likewise result in the wrongtransmission rank being selected. The impact of erroneous precoderselection is particularly severe for low-rank channels, where thespatial transmit directions that convey essentially no energy to thereceiver (or the “null space”) are large and a corresponding low-rankprecoder that has a significant overlap with the large null-space may beerroneously selected. This is less of a problem, however, for high rankchannels, which have a small null-space. Such high-rank channels willmost likely be matched with high-rank precoders. Therefore, it is muchless likely that an erroneously selected high-rank precoder will befully confined to the small null-space of the high-rank channels withwhich it will be used.

As a result of this discrepancy between high-rank and low-ranktransmissions, particular embodiments of transmitter 100 may considerthe rank of a transmission when allocating transmission resourcesbetween the control signaling and user data that will be transmitted. Inparticular embodiments, this allocation of transmission resources isreflected in the number of vector symbols 124 transmitter 100 uses totransmit a particular control codeword 120. Thus, transmitter 100 mayconsider the transmission rank of the transmission in determining thenumber of vector symbols 124 to use in transmitting user data codewords122 and/or the number to use in transmitting control codewords 120.

Transmitter 100 may use the transmission rank in any suitable manner todetermine the appropriate number of vector symbols 124 to allocate tothe different types of information. As one specific example, particularembodiments of transmitter 100 may calculate a nominal number({circumflex over (Q)}′)of vector symbols 124 to allocate to controlcodewords 120 and adjust this nominal number using a rank-specificoffset value (β_(offset)(r)) associated with the transmission rank ofthe relevant transmission to determine a scaled number (Q′) of vectorsymbols 124 to allocate to control codewords 120.

The offset value may represent any suitable value that may be used toadjust the amount of transmission resources used to transmit controlinformation. As one example, in particular embodiments, lower-ranktransmissions are associated with larger offset values than higher-ranktransmissions. As a result, in such embodiments, the offset values for alower-rank transmission may increase the nominal allocation of resourcesby more than the offset value of a higher-rank transmission. Thisresults in more transmission resources being allocated to controlinformation for lower-ranked transmissions and, for such transmissions,can increase their robustness to mismatched precoders.

The possible transmission ranks (i.e., the number of transmission layersused for a transmission) for a transmission are each associated with anoffset value. Depending on the configuration of the specific embodimentof transmitter 100, each possible transmission rank may be associatedwith a different offset value or multiple transmission ranks may beassociated with the same offset value. For example, in particularembodiments, the transmission rank for a transmission will depend inpart on the number of user data codewords 122 to be transmitted, asexplained above with respect to FIGS. 2B-2E. As a result, the variouspossible transmission ranks that transmitter 100 could use to transmit agiven number of user data codewords 122 may all be associated with thesame offset value. In such embodiments, transmitter 100 may use anoffset value of a first size for transmission ranks associated with thetransmission of one user data codeword 122 (e.g., for a rank onetransmission such as the one shown in FIG. 2B) and an offset value of asecond size for all transmission ranks associated with the transmissionof two data codewords 122 (e.g., for a rank two, a rank three, or a rankfour transmission such as the ones shown in FIGS. 2C-2E, respectively).As a result, transmitter 100 may use a larger offset value to allocatecontrol signaling for transmissions involving a single user datacodeword 122 than for transmissions involving multiple user datacodewords 122, because a transmission involving a single user datacodeword 122 uses less transmission layers than a transmission involvingmultiple user data codewords 122.

Transmitter 100 may use the relevant offset value to determine aresource allocation in any suitable manner. In particular embodiments,transmitter 100 may determine Q′ such that:

Q′={circumflex over (Q)}′·β _(offset)(r)

This nominal number Q′ may be a dynamically changing nominal resourceallocation that is determined from the payloads of the user datacodewords 122 and the number of bits in control codewords 120. Inparticular embodiments, transmitter 100 may calculate {circumflex over(Q)}′ such that:

$\begin{matrix}{{\hat{Q}}^{\prime} = {O \cdot {f\left( {{\hat{Q}}_{data},{\sum\limits_{r = 0}^{C_{n} - 1}K_{0,r}},\ldots \mspace{14mu},{\sum\limits_{r = 0}^{C_{n} - 1}K_{{N_{CW} - 1},r}}} \right)}}} & {{Equation}\mspace{14mu} (2)}\end{matrix}$

and thus:

$\begin{matrix}{Q^{\prime} = {O \cdot {f\left( {{\hat{Q}}_{data},{\sum\limits_{r = 0}^{C_{n} - 1}K_{0,r}},\ldots \mspace{14mu},{\sum\limits_{r = 0}^{C_{n} - 1}K_{{N_{CW} - 1},r}}} \right)} \cdot {\beta_{offset}(r)}}} & {{Equation}\mspace{14mu} (3)}\end{matrix}$

where

$f\left( {{\hat{Q}}_{data},{\sum\limits_{r = 0}^{C_{n} - 1}K_{0,r}},\ldots \mspace{14mu},{\sum\limits_{r = 0}^{C_{n} - 1}K_{{N_{CW} - 1},r}}} \right)$

represents a function that, given an estimate of the number of vectorsymbols 124 that will be allocated to transmitting user data codewords122 ({circumflex over (Q)}_(data)) (such vector symbols referred toherein as “user data vector symbols”) maps the data payloads

$\left( {\sum\limits_{r = 0}^{C_{n} - 1}K_{n,r}} \right)$

of each of the N_(CW) user data codewords 122 into an estimate of thenumber of vector symbols 124 to be used for each bit of the controlcodewords 120 to be transmitted during the subframe. In Equations (2)and (3), K_(q,r) represents the number of bits in an r-th code block ofa q-th codeword of user data to be transmitted during the subframe withr≧1 and q≧1, C_(n,m) is a number of code blocks in an m-th codeword ofuser data with m≧1, N_(CW) is a number of control codewords to betransmitted during the subframe, O is a number of bits in controlcodewords 120. If cyclic redundancy check (CRC) bits are used withcontrol codewords 120 and/or user data codewords 122, the relevantvalues for K_(q,r) and/or O may include any CRC bits in their totals. Assuggested by the designated ranges of r (r≧1) and q (q≧1) for the aboveformula, transmitter 100 may perform this calculation using one or morecode blocks from one or more user data codewords 122.

In particular embodiments that use such a formulation to determine thenominal number of control vector symbols, transmitter 100 may estimatethe number of user data vector symbols ({circumflex over (Q)}_(data))without accounting for the resulting number of vector symbols 124 thatwill be allocated to control information. Instead, transmitter 100 mayestimate {circumflex over (Q)}_(data) based on the assumption that alltransmission resources granted to transmitter 100 for the relevanttransmission will be used to transmit user data. For example,transmitter 100 may use a value of {circumflex over (Q)}_(data)=M_(sc)^(PUSCH-initial)·N_(symb) ^(PUSCH-initial), where M_(sc)^(PUSCH-initial) is the total number of subcarriers scheduled for use bytransmitter 100 for the relevant transmission, and N_(symb)^(PUSCH-initial) is the total number of vector symbols 124 granted totransmitter 100 for transmitting both control and user data in therelevant transmission. In such embodiments, transmitter 100overestimates the amount of resources that will be used for transmittingcontrol codewords 120 as a tradeoff for simplifying the allocationdetermination.

In other embodiments that use such a formulation to determine thenominal number, transmitter 100 may account for the number of controlvector symbols that would result from the estimated the number of userdata vector symbols {circumflex over (Q)}_(data) when estimating{circumflex over (Q)}_(data). For example, transmitter 100 may use aspecific form of Equation (2) according to which:

$\begin{matrix}{{\hat{Q}}^{\prime} = {O \cdot {f\begin{pmatrix}{{{\hat{Q}}_{data}\left( Q^{\prime} \right)},{\sum\limits_{r = 0}^{C_{n,0} - 1}K_{0,r}},\ldots \mspace{14mu},} \\{\sum\limits_{r = 0}^{C_{n,N_{CW}} - 1}K_{{N_{CW} - 1},r}}\end{pmatrix}}}} & {{Equation}\mspace{14mu} (4)}\end{matrix}$

and thus:

$\begin{matrix}{Q^{\prime} = {O \cdot {f\begin{pmatrix}{{{\hat{Q}}_{data}\left( Q^{\prime} \right)},{\sum\limits_{r = 0}^{C_{n,0} - 1}K_{0,r}},\ldots \mspace{14mu},} \\{\sum\limits_{r = 0}^{C_{n,N_{CW}} - 1}K_{{N_{CW} - 1},r}}\end{pmatrix}} \cdot {\beta_{offset}(r)}}} & {{Equation}\mspace{14mu} (4)}\end{matrix}$

where the estimated number of user data vector symbols to be used{circumflex over (Q)}_(data)(Q′) is a function of the scaled number Q′of vector symbols 124 to be allocated to control information.Transmitter 100 may then solve for Q′ recursively or by substituting anexpression for {circumflex over (Q)}_(data)(Q′) and solving for Q′directly. Embodiments of transmitter 100 that utilize Equations (4) and(5) to allocate transmission resources between user data and controlinformation may reduce the overhead associated with transmitting controlinformation by basing the allocation on a more accurate estimate of{circumflex over (Q)}_(data).

As another example of how transmitter 100 may account for thetransmission rank of a transmission in allocating transmissionresources, particular embodiments of transmitter 100 may determine thenominal number of control vector symbols based on the configurableoffset parameter that will be used to scale the nominal number ofcontrol vector symbols. Thus, in particular embodiments, transmitter 100may calculate {circumflex over (Q)}′ such that:

Q′={circumflex over (Q)}′(β_(offset)(r))·β_(offset)(r)   Equation (6)

Such embodiments may use a formulation for {circumflex over(Q)}′(β_(offset)(r)) according to which:

$\begin{matrix}{{{\hat{Q}}^{\prime}\left( {\beta_{offset}(r)} \right)} = \frac{O \cdot Q_{all}}{\begin{matrix}{{g\left( {{\sum\limits_{r = 0}^{C_{n,0} - 1}K_{0,r}},\ldots \mspace{14mu},{\sum\limits_{r = 0}^{C_{n,{N_{CW} - 1}}}K_{{N_{CW} - 1},r}}} \right)} +} \\{O\; {\beta_{offset}(r)}}\end{matrix}}} & {{Equation}\mspace{14mu} (7)}\end{matrix}$

and thus:

$\begin{matrix}{Q^{\prime} = {\frac{O \cdot Q_{all}}{\begin{matrix}{{g\left( {{\sum\limits_{r = 0}^{C_{n,0} - 1}K_{0,r}},\ldots \mspace{14mu},{\sum\limits_{r = 0}^{C_{n,N_{CW}} - 1}K_{{N_{CW} - 1},r}}} \right)} +} \\{O\; {\beta_{offset}(r)}}\end{matrix}} \cdot {\beta_{offset}(r)}}} & {{Equation}\mspace{14mu} (8)}\end{matrix}$

In Equations (7) and (8), Q_(all) represents the total resourceallocation granted to transmitter 100 (or an estimate thereof) fortransmitting both control information and user data in the relevanttransmission. In particular embodiments, transmitter may use a value ofQ_(all) equal to M_(sc) ^(PUSCH-initial), N_(symb) ^(PUSCH-initial). Byaccounting for the effect of the rank-specific offset parameter indetermining the nominal number, transmitter 100 may be able to optimizethe amount of overhead used to transmit control information.

As yet another example of how transmitter 100 may account fortransmission rank in allocating transmission resources, particularembodiments of transmitter 100 may use a different configurable offsetparameter in determining the nominal number of control vector symbols.That is, transmitter 100 may use a first rank-specific offset parameter,β_(offset)(r), to scale a nominal number of control vector symbols thattransmitter 100 determines using a second rank-specific offsetparameter, {tilde over (β)}_(offset)(r), such that

Q′={circumflex over (Q)}′({tilde over (β)}_(offset)(r))·β_(offset)(r)  Equation (9)

The use of different offset parameters may permit transmitter 100 tohave greater control in optimizing the allocation of transmissionresources.

After calculating the scaled number of control vector symbols 124 toallocate using any of the techniques described above, transmitter 100may process the scaled value as appropriate to ensure a certain type offinal value or a final value in a particular range. Transmitter 100 maythen use the scaled number, or the result of any such processing, todetermine a number of vector symbols 124 to allocate to controlinformation. For example, transmitter 100 may convert Q′ to aninteger-valued result (e.g., using a ceiling function) or may set aminimum and/or maximum for Q′ to ensure that the number of allocatedcontrol vector symbols 124 is within a particular range. Alternatively,transmitter 100 may process any of the individual inputs used by theabove algorithms (e.g., the estimated inverse spectral efficiency ofuser data) as appropriate to ensure a suitable type or range for theresulting output. As one specific example, transmitter 100 may utilize aminimum threshold for the inverse spectral efficiency of user data toensure that the resulting number of vector symbols 124 allocated to eachbit of control signaling is greater than a minimum amount.

After determining the number of vector symbols to allocate to controlsignaling for the relevant transmission, transmitter 100 may then mapthe control codewords 120 onto the final number of symbol vectors 124.Transmitter 100 also maps the user data codewords 122 onto thedetermined number of user data symbols vectors. Transmitter 100 may thentransmit the relevant user data and control symbol vectors, as describedabove.

Thus, transmitter 100 may provide improved resource allocationtechniques in a variety of different forms. Using these resourceallocation techniques, certain embodiments of transmitter 100 may beable to match the allocation of control-signaling transmission resourcesto the rank of the transmission As a result, such embodiments may beable to provide a more precise allocation of control size, resulting inlower uplink overhead and/or improved robustness at the same overhead.In particular, these embodiments may provide significantly improvedperformance for low-rank transmissions when a sub-optimal precoder isselected. Consequently, certain embodiments of transmitter 100 mayprovide multiple operational benefits. Specific embodiments, however,may provide some, none, or all of these benefits.

Although the description above focuses on implementation of thedescribed resource allocation techniques in a transmitter, the aboveconcepts can also be applied at a receiver. For example, when decodingtransmissions received from transmitter 100, a receiver may utilizecertain aspects of the described techniques to estimate the amount oftransmission resources that have been allocated to control signaling.Furthermore, the described concepts may be applied for purposed ofscheduling use of transmission resources in wireless communicationsystems that utilize centralized resource management. For example, aneNode B may utilize certain aspects of the described techniques toestimate the amount of transmission resources a UE that incorporatestransmitter 100 will allocate to control signaling for a given period oftime or for a given amount of transmitted data. Based on this estimate,the eNode B may determine an appropriate number of transmissionresources to schedule for use by the relevant UE. FIGS. 5-7 describe ingreater detail the contents and operation of example devices capable ofperforming such receiving and/or scheduling. Additionally, although thedescription herein focuses on implementation of the described resourceallocation techniques in wireless communication networks supporting LTE,the described resource allocation techniques may be utilized inconjunction with any appropriate communication technologies including,but not limited to LTE, High-Speed Packet Access plus (HSPA+), andWorldwide Interoperability for Microwave Access (WiMAX).

FIG. 2 is a functional block diagram showing in greater detail theoperation of a particular embodiment of carrier modulator 112. Inparticular,

FIG. 2 illustrates an embodiment of carrier modulator 112 that might beused by an embodiment of transmitter 100 that utilizes DFTS-OFDM asrequired for uplink transmissions in LTE. Alternative embodiments may beconfigured to support any other appropriate type of carrier modulation.The illustrated embodiment of carrier modulator 112 includes a DFT 202,a precoder 204, an inverse DFT (IDFT) 206, and a plurality of poweramplifiers (PAs) 208.

Carrier modulator 112 receives vector symbols 124 output by layer mapper110. As received by carrier modulator 112, vector symbols 124 representtime domain quantities. DFT 202 maps vector symbols 124 to the frequencydomain. The frequency-domain version of vector symbols 124 are thenlinearly precoded by precoder 204 using a precoding matrix, W, that is(N_(T)×r) in size, where N_(T) represents the number of transmissionantennas 114 to be used by transmitter 100 and r represents the numberof transmission layers that will be used by transmitter 100. Thisprecoder matrix combines and maps the r information streams onto N_(T)precoded streams. Precoder 204 then generates a set of frequency-domaintransmission vectors by mapping these precoded frequency-domain symbolsonto a set of sub-carriers that have been allocated to the transmission.

The frequency-domain transmission vectors are then converted back to thetime domain by IDFT 206. In particular embodiments, IDFT 206 alsoapplies a cyclic prefix (CP) to the resulting time-domain transmissionvectors. The time-domain transmission vectors are then amplified bypower amplifiers 208 and output from carrier modulator 112 to antennas114, which are used by transmitter 100 to transmit the time-domaintransmission vectors over a radio channel to a receiver.

FIG. 3 is a structural block diagram showing in greater detail thecontents of a particular embodiment of transmitter 100. Transmitter 100may represent any suitable device capable of implementing the describedresource allocation techniques in wireless communication. For example,in particular embodiments, transmitter 100 represents a wirelessterminal, such as an LTE user equipment (UE). As shown in FIG. 3, theillustrated embodiment of transmitter 100 includes a processor 310, amemory 320, a transceiver 330, and a plurality of antennas 114.

Processor 310 may represent or include any form of processing component,including dedicated microprocessors, general-purpose computers, or otherdevices capable of processing electronic information. Examples ofprocessor 310 include field-programmable gate arrays (FPGAs),programmable microprocessors, digital signal processors (DSPs),application-specific integrated circuits (ASICs), and any other suitablespecific- or general-purpose processors. Although FIG. 3 illustrates,for the sake of simplicity, an embodiment of transmitter 100 thatincludes a single processor 310, transmitter 100 may include any numberof processors 310 configured to interoperate in any appropriate manner.In particular embodiments, some or all of the functionality describedabove with respect to FIGS. 1 and 2 may be implemented by processor 310executing instructions and/or operating in accordance with its hardwiredlogic.

Memory 320 stores processor instructions, equation parameters, resourceallocations, and/or any other data utilized by transmitter 320 duringoperation. Memory 320 may comprise any collection and arrangement ofvolatile or non-volatile, local or remote devices suitable for storingdata, such as random access memory (RAM), read only memory (ROM),magnetic storage, optical storage, or any other suitable type of datastorage components. Although shown as a single element in FIG. 3, memory320 may include one or more physical components local to or remote fromtransmitter 100.

Transceiver 330 transmits and receives RF signals over antennas 340 a-d.Transceiver 330 may represent any suitable form of RF transceiver.Although the example embodiment in FIG. 3 includes a certain number ofantennas 340, alternative embodiments of transmitter 100 may include anyappropriate number of antennas 340. Additionally, in particularembodiments, transceiver 330 may represent, in whole or in part, aportion of processor 310.

FIG. 4 is a flowchart detailing example operation of a particularembodiment of transmitter 100. In particular, FIG. 4 illustratesoperation of an embodiment of transmitter 100 in allocating transmissionresources to the transmission of control codewords 120. The stepsillustrated in FIG. 4 may be combined, modified, or deleted whereappropriate. Additional steps may also be added to the exampleoperation. Furthermore, the described steps may be performed in anysuitable order.

In particular embodiments, operation may begin at step 402 withtransmitter 100 estimating a number of vector symbols to be allocated touser data. As noted above, transmitter 100 may estimate the number ofuser data vector symbols in any appropriate manner. As one example,transmitter 100 may estimate the number of user data vector symbols byassuming pessimistically that all transmission resources allocated totransmitter 100 for the relevant subframe will be used to transmit userdata. Thus, in such embodiments, transmitter 100 may estimate the numberof vector symbols to be allocated to user data codewords ({circumflexover (Q)}_(data)) based on a value (Q_(all)) reflecting the total amountof transmission resources allocated to transmitter 100. The size andunits of Q_(all) depends on the manner in which the access networkallocates transmission resources to transmitter 100. For instance,transmitter 100 may use a value of Q_(all)=N×M, where N is the totalnumber of vector symbols available to transmitter 100 for transmittingcontrol information and user data in the relevant subframe (e.g.,N^(symb) ^(PUSCH-initial) in certain LTE embodiments), and M is a totalnumber of subcarriers available to transmitter 100 during the relevantsubframe (e.g., M_(sc) ^(PUSCH-initial)). Thus, as part of step 402,transmitter 100 may multiply a total number of subcarriers allocated foruse by transmitter 100 in the relevant subframe by a total number ofvector symbols 124 allocated to transmitter 100 to determine the totalcapacity allocated to transmitter 100 for the relevant subframe.

As another example, transmitter 100 may account for the use oftransmission resources to transmit control codewords 120 when estimatingthe number of user data vector symbols. Thus, in such embodiments,transmitter 100 may estimate a number of vector symbols ({circumflexover (Q)}_(data)) to be allocated to user data that is dependent on thenumber of control vector symbols (Q′) that would result from thisallocation of vector symbols 124 to user data—that is, ({circumflex over(Q)}_(data)={circumflex over (Q)}_(data)(Q′)). In such embodiments,transmitter 100 may solve for {circumflex over (Q)}_(data) and/or Q′recursively or solve for Q′ directly using a closed-form expression forthe relationship between {circumflex over (Q)}_(data) and Q′, such as{circumflex over (Q)}_(data)=Q_(all)−α·Q′ (where α is a predeterminedconstant or a configurable parameter).

At step 404, transmitter 100 determines a number of bits in one or moreuser data codewords 122 to be transmitted. In particular embodiments,user data codewords 122 may include CRC bits, and transmitter 100 mayconsider these CRC bits when counting the bits in the relevant user datacodewords 122. Additionally, in particular embodiments, the plurality ofuser data codewords 124 counted by transmitter 100 may represent all ofthe user data codewords 122 to be transmitted during the subframe. Inalternative embodiments, however, this plurality of user data codewords122 represent only a subset of the total number of user data codewords122 to be transmitted during the subframe. For example, in certainembodiments, transmitter 100 may determine the number of bits in step404 based only on the user data codewords 122 to be transmitted oncertain transmission layers. Thus, in such embodiments, transmitter 100may, as part of step 404, identify the transmission layers over whichtransmitter 100 will transmit control codewords 120 during the subframeand then determine the total number of bits in only those user datacodewords 122 that are to be transmitted over the identifiedtransmission layers.

At some point during operation, transmitter 100 determines one ormultiple offset values based on the transmission rank of thetransmission to be made. As discussed above, the offset value(s) maydepend in any suitable manner on the transmission rank. For example, inparticular embodiments, transmitter 100 may select an offset value fortransmission ranks associated with single-codeword transmissions that islarger than the offset value(s) transmitter 100 may select fortransmission ranks associated with multiple-codeword transmissions.Additionally, in certain embodiments, the offset value(s) decrease withincreasing transmission rank to account for the greater impact ofmismatched precoders on lower transmission ranks. This may result intransmitter 100 using more overhead to transmit control information withlow-rank transmissions in an effort to improve the robustness of suchtransmissions.

Furthermore, in certain embodiments, transmitter 100 may use only asingle offset value in performing the allocation, and thus, may onlyneed to determine a single offset value. As explained further below,however, transmitter 100 may alternatively use a first offset value forscaling the nominal number and a second offset value to determine thenominal number. Thus, in the illustrated example, transmitter 100determines one or more offset values at step 406.

Transmitter 100 calculates a nominal number of control vector symbolsbased, at least in part, on the estimated number of user data vectorsymbols and the determined number of bits in the user data codewords122. In particular embodiments, transmitter 100 may account for the factthat the nominal value will be scaled by an offset value (β_(offset))when calculating the nominal value. As a result, the nominal number ofcontrol vector symbols calculated by transmitter 100 may also depend onan offset value. In some embodiments, this offset value is the same asthe offset value transmitter 100 uses to scale the nominal value (i.e.,β_(offset)). For example, in such embodiments, transmitter 100 maycalculate the nominal number of control vector symbols uvalue Q′ where:

${{\hat{Q}}^{\prime} = \frac{O \times {\hat{Q}}_{data}}{{g( \cdot )} + {O \times \beta_{offset}}}},$

where O is the number of bits of control data codewords 122 to betransmitted, g(·) is a function of the number of bits of user datacodewords 122 to be transmitted, and {circumflex over (Q)}_(data) is theestimate of the transmission resources allocated to user data for therelevant transmission.

Instead of using the same offset value to calculate the nominal number,transmitter 100 may use a second offset value ({tilde over(β)}_(offset)) to calculate the nominal number such that Q′={circumflexover (Q)}′({tilde over (β)}_(offset)(r))·β_(offset)(r). For example, insuch embodiments, transmitter 100 may calculate the nominal number ofcontrol vector symbols based on the value {circumflex over (Q)}′ where:

${{\hat{Q}}^{\prime} = \frac{O \times {\hat{Q}}_{data}}{{g( \cdot )} + {O \times {\overset{\sim}{\beta}}_{offset}}}},$

Thus, the illustrated embodiment of transmitter 100 calculates a nominalnumber of control vector symbols based, at least in part, on theestimated number of data vector symbols, the determined number of bitsin the user data codewords, and an offset value (i.e., the first offsetvalue or a second offset value) at step 408.

At step 410, transmitter 100 calculates a scaled number of controlvector symbols by multiplying the nominal number of control vectorsymbols by a rank-specific offset value (β_(offset)) As noted above, ifan offset value is used to calculate the nominal number of controlvector symbols, the rank-specific offset value used in step 410 mayrepresent the same or a different offset value.

In particular embodiments, transmitter 100 uses this scaled number ofcontrol vector symbols as the final number of control vector symbols.Alternatively, transmitter 100 may process the scaled value to provide afinal number of a certain type (e.g., an integer value), ensure a finalnumber within a particular range, or achieve some other goal withrespect to the resulting number of control vector symbols. Thus, inparticular embodiments, transmitter 100 may round or truncate the scalednumber (e.g., by applying a ceiling or floor operation to the scalednumber), adjust the scaled number based on a designated minimum ormaximum value, or perform any other appropriate processing to the scalednumber to generate a final number of control vector symbols, as shown atstep 412.

After determining the final number of vector symbols 124 to allocate tocontrol signaling, transmitter 100 then maps control codewords 120available for transmission to the calculated number of vector symbols124 at step 414. Transmitter 100 may perform any appropriate processingof the control vector symbols 124 to permit transmission of the controlvector symbols 124 to a receiver in communication with transmitter 100including, for example, the processing described above with respect toFIG. 2. After completing any appropriate processing of vector symbols124, transmitter 100 then transmits control vector symbols 124 over aplurality of transmission layers using the plurality of antennas 114 atstep 416. Operation of transmitter 100 with respect to transmittingthese particular control codewords 120 may then end as shown in FIG. 4.

FIG. 5 is a structural block diagram showing the contents of a networknode 500 that may serve as a receiver for control codewords 120transmitted by transmitter 100 and/or that may serve as a scheduler forscheduling transmission of control codewords 120 by transmitter 100. Asnoted above, the described resource allocation techniques may also beutilized by devices in decoding transmissions received from transmitter100 or in determining the appropriate amount of transmission resourcesto schedule for use by transmitter 100 in a given subframe. For example,in particular embodiments, transmitter 100 may represent a wirelessterminal (such as an LTE UE) and network node 500 may represent anelement of a radio access network that receives uplink transmission fromthe wireless terminal or that is responsible for scheduling the wirelessterminal's use of transmission resources (such as an LTE eNodeB).

As shown in FIG. 5, the illustrated embodiment of network node 500includes a processor 510, a memory 520, a transceiver 530, and aplurality of antennas 540 a-d. Processor 510, memory 520, transceiver530, and antennas 540 may represent identical or analogous elements tothe similarly-named elements of FIG. 3. In particular embodiments ofnetwork node 500, some or all of the functionality of network node 500described below with respect to FIGS. 6 and 7 may be implemented byprocessor 510 executing instructions and/or operating in accordance withits hardwired logic.

FIG. 6 is a flowchart detailing example operation of a particularembodiment of network node 500. In particular, FIG. 6 illustratesoperation of an embodiment of network node 500 in receiving and decodingcontrol codewords 120 received from transmitter 100. The stepsillustrated in FIG. 6 may be combined, modified, or deleted whereappropriate. Additional steps may also be added to the exampleoperation. Furthermore, the described steps may be performed in anysuitable order.

Operation of network node 500 begins at step 602 with network node 500receiving a plurality of vector symbols 124 from transmitter 100. Forpurposes of decoding the vector symbols 124, network node 500 may needto determine the manner in which transmitter 100 allocated these vectorsymbols 124 between control signaling and user data. As a result,network node 500 may determine the number of the received vector symbols124 that transmitter 100 used to transmit control codewords 120.

To properly decode the received vector symbols 124, network node 500 mayneed to follow the same or an analogous procedure to what transmitter100 used to determine the resource allocation on the transmitting side.Thus, depending on the configuration of the relevant transmitter 100,network node 500 may be configured to determine the number of vectorsymbols 124 allocated to control codewords 120 (referred to herein as“control vector symbols”) using any of the techniques described above.An example of this process for the example embodiment is shown at steps604-614 of FIG. 6. In particular, FIG. 6 describes operation of anembodiment of network node 500 that communicates with the transmitter100 described by FIGS. 1-3. Thus, network node 500 performs steps604-614 in a similar or analogous fashion to that described above forthe similarly-captioned steps in FIG. 4.

After network node 500 has determined the final number of vector symbols124 that transmitter 100 allocated to control codewords 120, networknode 500 decodes the received vector symbols 124 based on this number atstep 616. For example, network node 500 may use this information todetermine which of the received vector symbols 124 are carrying controlcodewords 120 and which are carrying user data codewords 122. Iftransmitter 100 has encoded control signaling and user data usingdifferent encoding schemes, network node 500 may then apply a differentdecoding scheme to the two types of vector symbols 124. Operation ofnetwork node 500 with respect to decoding the received symbol vectorsmay then terminate as shown in FIG. 6.

FIG. 7 is a flowchart detailing example operation of a particularembodiment of network node 500 responsible for scheduling the use oftransmission resources by transmitter 100. The steps illustrated in FIG.7 may be combined, modified, or deleted where appropriate. Additionalsteps may also be added to the example operation. Furthermore, thedescribed steps may be performed in any suitable order.

In FIG. 7, operation of network node 500 begins at step 702 with networknode 500 receiving a request for transmission resources from transmitter100. This request may represent any appropriate information indicatingnetwork node 500 has information, including one or both of controlsignaling and user data, to transmit in a geographic area served bynetwork node 500. In particular embodiments, network node 500 mayrepresent an LTE eNodeB and this request may represent a schedulingrequest transmitted by transmitter 100 on PUCCH. Additionally, networknode 500 may possess information regarding transmissions transmitter 100is expected to make during the relevant subframe. For example, in therelevant subframe, transmitter may expect a HARQ ACK/NACK transmissionfrom tranmitter 100 responding to a previous transmission from networknode 500. Alternatively or additionally, in particular embodiments, thescheduling request received by network node 500 may indicate the amountand/or type of information transmitter 100 is intending to transmit.

In response to receiving the request, network node 500 may determine anallocation of transmission resources to grant to transmitter 100 for usein transmitting the requested transmission. To determine thisallocation, network node 500 may determine the amount of controlinformation and user data network node 500 expects transmitter 100 totransmit in conjunction with the request. Network node 500 may determinethese amounts based on information included in the request itself,information maintained locally by network node 500 itself (e.g.,information on expected control information transmissions), and/orinformation received from any other suitable source.

Furthermore, in particular embodiments, network node 500 determines thisoverall allocation based on the assumption that transmitter 100 willdetermine an allocation for control vector symbols for the requestedtransmission based on the techniques described above. Thus, network node500 may also use the techniques above to grant an appropriate amount oftransmission resources to transmitter 100 for the requestedtransmission. Because the above techniques may involve transmitter 100determining an allocation of control vector symbols that depends in parton the allocation of user data vector symbols, network node 500 maylikewise estimate the control allocation based on an estimate allocationfor use data. This may result in network node 500 determining a totalallocation for transmitter 100 comprised of a user data allocation and acontrol information allocation, which itself depends on the user dataallocation. Thus, in particular embodiments, network node 500 maydetermine the total allocation recursively. An example of this is shownby step 704of FIG. 7.

At step 704, network node determines a transmission rank, a total numberof vector symbols to be used by transmitter 100 for the requestedtransmission, and a number of bits of user data to be carried by each ofa plurality of data codewords to be transmitted as part of the requestedtransmission. In particular embodiments, the determination of thetransmission rank, the total number of vector symbols, and the number ofbits carried by each data codeword accounts for an estimated number ofcontrol vector symbols that will result from this determination. Thus,as part of step 704, network node 500 may determine the estimated numberof control vector symbols by estimating the number of user data vectorsymbols to be used in transmitting the user data codewords, estimatingthe number of bits in the control codewords 120 to be transmitted,determining one or more rank-specific offset values for thetransmission, and calculating the number of control vector symbols basedon the estimated number of user data vector symbols, the estimatednumber of bits in the control codewords 120, the number of bits of userdata to be carried by each of the user data codewords, and the offsetvalue(s).

Depending on the configuration of transmitter 100, network node 500 mayprocess the estimated number of control vector symbols in an appropriatemanner as described above before using the value to make thedetermination of step 704. For example, network node 500 may calculate anominal number of control vector symbols based on the estimated numberof data vector symbols, the estimated number of bits in the controlcodewords 120, and the number of bits of user data to be carried by eachof the user data codewords. Network node 500 may then scale this nominalnumber by an offset, increase the nominal number to meet a minimumnumber, apply a ceiling operation to the nominal, and/or perform anyother appropriate processing of the nominal number to calculate thefinal estimated number of control vector symbols.

Network node 500 then uses this determination in responding to therequest sent by transmitter 100. In particular embodiments, if networknode 500 decides to grant the request, network node 500 may communicateaspects of the determined allocation to transmitter 100. Therefore, inparticular embodiments, network node 500 may respond to the request bygenerating a particular response (e.g., a scheduling grant) to therequest based on the determined allocation and transmitting the responseto transmitter 100, as shown by steps 706-708 of FIG. 7. For example, incertain LTE embodiments, network node 500 may generate a schedulinggrant that includes information indicating the determined transmissionrank, the determined total number of vector symbols, and the number ofbits to be used for each data codeword and send this scheduling grant totransmitter 100. Alternatively or additionally, network node 500 may usethe determined allocation in deciding whether to grant the request or indeciding how to prioritize the request. Operation of network node 500with respect to scheduling transmitter 100 for this subframe may thenterminate as shown in FIG. 7.

Although the present invention has been described with severalembodiments, a myriad of changes, variations, alterations,transformations, and modifications may be suggested to one skilled inthe art, and it is intended that the present invention encompass suchchanges, variations, alterations, transformations, and modifications asfall within the scope of the appended claims.

What is claimed is:
 1. A method for wirelessly transmitting data using aplurality of transmission layers, comprising: estimating a number ofuser data vector symbols to be allocated to one or more user datacodewords during the subframe; determining a number of bits in the oneor more user data codewords; calculating a nominal number of controlvector symbols to allocate to control information based, at least inpart, on the estimated number of user data vector symbols and thedetermined number of bits in the one or more user data codewords;determining an offset value based, at least in part, on a number oflayers over which the wireless terminal will be transmitting during thesubframe; calculating a final number of control vector symbols based onthe nominal number of control vector symbols and the offset value;mapping one or more control codewords to the final number of controlvector symbols, wherein the control codewords comprise encoded controlinformation; and transmitting, from a wireless terminal, vector symbolscarrying the one or more user data codewords and the one or more controlcodewords over the plurality of transmission layers during the subframe.